generiikkimallien
Generiikkimallien, often translated as "generic models" or "generative models" in English, refers to a class of artificial intelligence models that are designed to generate new data instances that resemble a given training dataset. These models learn the underlying distribution of the training data, allowing them to create novel, yet plausible, outputs.
The core idea behind generiikkimallien is to capture the statistical properties and patterns present in the
Common types of generiikkimallien include Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). GANs consist of
Applications for generiikkimallien are diverse and expanding. They are employed in image synthesis for artistic creation